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Rob Griffin, senior vice president and U.S. director of search for Media Contacts, a communications consulting firm, is faced with the task of optimizing search engine marketing (SEM) for Air France. At the time of the case, SEM had become an advertising phenomenon, with North American advertisers spending $9.4 billion in the SEM channel, up 62% from 2005. Moving forward, Griffin wants to ensure that the team keeps its leading edge and delivers the results Air France requires for optimal Internet sales growth. The case centers upon Air France's and Media Contacts' efforts to find the ideal SEM campaign to provide an optimal amount of ticket sales in response to advertising dollars spent. This optimal search marketing campaign is based on choosing effective allocation of ad dollars across the various search engines, as well as selecting appropriate keywords and bid strategies for placement on the search result page for Internet users. In determining the optimal strategy, the case presents background information on the airline industry as well as the Internet search options available at the time, including Google, Microsoft MSN, Yahoo!, and Kayak. Additionally, background information is provided on SEM and its associated costs and means of measuring the successfulness of each marketing effort. The case illustrates how one must first determine the key performance indicators for the project to guide analysis and enable comparison of various SEM campaigns. Cost per click and probability to produce a sale differ among publishers. Therefore, using a portfolio application model's quadrant positions can be used to determine optimal publisher strategies. Additionally, pivot tables help illustrate campaigns and strategies that have historically been most successful in meeting Air France's target Internet sales. Multiple recommendations on how Media Contacts can assist Air France in improving its SEM strategy can be derived from the data provided.

learning objective:

Students learn how to optimally leverage the Internet in generating customer sales in a cost-effective manner. Students will analyze and manipulate a variety of data using pivot tables to determine optimal strategies for obtaining maximum total online bookings through the various online channels available. Using a portfolio application model, students can determine an optimal publisher strategy and complete copy improvement analysis.

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In March 2009, Steve Fowler, vice president of strategy and client service at full-service advertising agency Ayzenberg, had just completed what he considered to be one of the most innovative campaigns he had ever handled. Capcom, a leader in the video gaming industry, had just launched Resident Evil® 5 (RE5), the latest release of one of the industry's most valuable game franchises. RE5, a powerful asset with a passionate fan base, had warranted the use of an online viral, or word-of-mouth (WOM), campaign for its worldwide game launch. Although the creative work and appropriate media for the RE5 launch had been meticulously planned, Fowler was also interested in measuring the effectiveness of the campaign to better serve his client. In the past, measuring WOM was practically impossible. However, a software company named Meteor Solutions had found a way to do exactly that. Fowler and his team had worked with Meteor to execute several campaigns for other clients, but he had never applied Meteor tools on such a large scale. Fowler knew Capcom would want to hear specific WOM figures. What was the return on investment for the RE5 campaign and the implications for future campaigns? Had the Meteor tools provided comprehensive and actionable information, or was more work needed before these solutions could be widely used in advertising?

learning objective:

How to measure the value and fully leverage social media marketing including key success factors, challenges, metrics and implications for future campaigns and other industries.

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By 2009 Netflix had all but trounced its traditional bricks-and-mortar competitors in the video rental industry. Since its founding in the late 1990s, the company had changed the face of the industry and threatened the existence of such entrenched giants as Blockbuster, in large part because of its easy-to-understand subscription model, policy of no late fees, and use of analytics to leverage customer data to provide a superior customer experience and grow its e-commerce media platform. Netflix's investment in data collection, IT systems, and advanced analytics such as proprietary data mining techniques and algorithms for customer and product matching played a crucial role in both its strategy and success. However, the explosive growth of the digital media market presents a serious challenge for Netflix's business going forward. How will its analytics, customer data, and customer interaction models play a role in the future of the digital media space? Will it be able to stand up to competition from more seasoned players in the digital market, such as Amazon and Apple? What position must Netflix take in order to successfully compete in this digital arena?

learning objective:

To examine the benefits and risks of investment in analytical technology as a means for mining customer data for business insights. Students will develop a strategy position for Netflix's investment in technology and its digital media business. Students must also consider how new corporate partnerships and changes to the customer channel model will allow the company to prosper in the highly competitive digital space.

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In 2001 Accenture took the bold step of separating from its parent, Arthur Andersen. The new firm that emerged had a bright future ahead, but it also faced the challenge of building a new IT infrastructure that could support a global organization that consults on leading-edge technology. Accenture's CIO at the time, Ed Schreck, knew that becoming a master of your own trade was not an easy task. Frank Modruson, Schreck's successor and the person responsible for carrying forward the IT transformation challenge from 2002 on, had ambitious plans for the new technology infrastructure that was to replace Arthur Andersen's legacy systems. Difficult decisions had to be made. Should the firm continue with a decentralized approach to managing technology platforms, in which each country chooses its own IT platforms and has autonomy to run them? Or should the firm take a mixed approach, in which the same standard applications would run throughout the enterprise but would be managed independently by individual offices? Or should Accenture espouse a "one-firm" approach and boldly shoot for a centralized implementation of its most critical systems, with all its offices interconnected on the same "instance" of a software platform? Furthermore, should the firm retain its traditional conception of IT as cost center, or should it migrate to a scheme that recognizes IT as a service provision center that generates measurable value for the organization? These questions and many others drove Accenture's CIO team to undertake one of the most remarkable IT transformations in a global organization in recent years.

learning objective:

To understand best practices for transforming an IT infrastructure. To offer a step-by-step approach to rationalizing a billion-dollar-plus IT technology infrastructure. To understand the connection between strategy and architecture in delivering high performance for an organization. To understand organizational change strategies and approaches in dealing with complexity in very large companies.

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Rob Griffin, senior vice president and U.S. director of search for Media Contacts, a communications consulting firm, is faced with the task of optimizing search engine marketing (SEM) for Air France. At the time of the case, SEM had become an advertising phenomenon, with North American advertisers spending $9.4 billion in the SEM channel, up 62% from 2005. Moving forward, Griffin wants to ensure that the team keeps its leading edge and delivers the results Air France requires for optimal Internet sales growth. The case centers upon Air France's and Media Contacts' efforts to find the ideal SEM campaign to provide an optimal amount of ticket sales in response to advertising dollars spent. This optimal search marketing campaign is based on choosing effective allocation of ad dollars across the various search engines, as well as selecting appropriate keywords and bid strategies for placement on the search result page for Internet users. In determining the optimal strategy, the case presents background information on the airline industry as well as the Internet search options available at the time, including Google, Microsoft MSN, Yahoo!, and Kayak. Additionally, background information is provided on SEM and its associated costs and means of measuring the successfulness of each marketing effort. The case illustrates how one must first determine the key performance indicators for the project to guide analysis and enable comparison of various SEM campaigns. Cost per click and probability to produce a sale differ among publishers. Therefore, using a portfolio application model's quadrant positions can be used to determine optimal publisher strategies. Additionally, pivot tables help illustrate campaigns and strategies that have historically been most successful in meeting Air France's target Internet sales. Multiple recommendations on how Media Contacts can assist Air France in improving its SEM strategy can be derived from the data provided.

learning objective:

Students learn how to optimally leverage the Internet in generating customer sales in a cost-effective manner. Students will analyze and manipulate a variety of data using pivot tables to determine optimal strategies for obtaining maximum total online bookings through the various online channels available. Using a portfolio application model, students can determine an optimal publisher strategy and complete copy improvement analysis.

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This case is designed to teach how to structure information technology (IT) infrastructure outsourcing deals from both the outsourcer and the client perspective. Office Supply Incorporated (OSI) is a company in crisis, with challenges in its cost structure and poor IT performance. Outsourcing to Technology Infrastructure Solutions is an opportunity to both reduce costs and complexity for the firm, but students first must consider whether outsourcing is a good strategic fit for OSI. Detailed spreadsheet templates are given that are based on a real outsourcing client engagement for a major infrastructure outsourcing company. The spreadsheets are complex but have been simplified so that they automatically calculate when populated, allowing the students to quickly move to answering the management challenge: how should TIS price and structure the outsourcing deal? Answering this question provides deep insights into the business case for IT outsourcing and how outsourcers financially engineer a deal structure to ensure a win-win outcome for both the client and outsource service provider.

learning objective:

Students will: • Understand the strategic context of IT outsourcing and when it will benefit a firm; • Understand IT infrastructure outsourcing and management issues such as personnel reductions and organizational change; • Learn which outsourcing pricing model is the best fit for a project; • Create a rigorous cost-benefit financial analysis and ROI model for IT infrastructure outsourcing; • Analyze the model and learn how to financially engineer the deal to be a win-win for the outsourcer and client.

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A major barrier for growth of large multi-business-unit firms is the inability to resource the critical initiatives to win-both in terms of dollars and people. The underpinning of the challenge involves the conflict between resourcing current cash-generating legacy businesses vs. new initiatives which may not, in the short term, produce positive financial results. Most companies do not have a formal portfolio process to deal with this fundamental issue. The Healthcare Solutions business unit of Danaka is a fictional business based on real business experiences. The principle challenge is the need for this business to free up $300 million of current, budgeted R&D projects to fund new, unfunded initiatives to meet its five-year growth objectives. Tools and processes are introduced via interactive spreadsheets that show how to make the tough portfolio decisions on a project-by-project basis.

learning objective:

When business leaders set financial goals, they must understand how they are expending their resources. More often than not, significant changes must occur that could be wrenching to the organization. The key learning objectives of the case are: (1) realizing the importance of doing the portfolio analysis, (2) discussing the processes and issues involved in making the changes, and (3) understanding how to put the decision process in place.

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